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Author Topic: collatz conjecture graph in processing  (Read 2092 times)
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ker2x
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« on: March 16, 2010, 01:16:44 AM »

i wrote a small app that graph the tree graph of the collatz conjecture.
the source code is available, but it's very ugly and memory inefficient.
it need a full rewrite, but it's a few hour of hack smiley

here it is : http://ker.endofinternet.net/img/collatz/
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often times... there are other approaches which are kinda crappy until you put them in the context of parallel machines
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Timeroot
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« Reply #1 on: March 16, 2010, 05:54:45 AM »

This wouldn't by any chance be related to xkcd, would it?

Hmmmmm?  cheesy
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ker2x
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« Reply #2 on: March 16, 2010, 09:53:29 AM »

you mean http://xkcd.com/710/  ?
it's 2000% related  grin
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often times... there are other approaches which are kinda crappy until you put them in the context of parallel machines
(en) http://www.blog-gpgpu.com/ , (fr) http://www.keru.org/ ,
Sysadmin & DBA @ http://www.over-blog.com/
jehovajah
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« Reply #3 on: March 16, 2010, 11:13:57 AM »

As simple as this rule is the graph demonstrates short term and long term memory structure with local revision of learrning. It may be a basis for artificial learning in memory structures.
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kram1032
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« Reply #4 on: March 16, 2010, 02:54:24 PM »

cool app cheesy
Very rigid xD
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ker2x
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« Reply #5 on: March 19, 2010, 11:46:50 AM »

i rebuilt the same kind of program, using neo4j : http://github.com/ker2x/Collatz4Neo

i processed tens of milliions of node.
now trying with hundreds of millions of node.

The probleme is : how to visualize a graph with millions of node ?  cry
Obviously, my processing app can't draw that kind of huge graph  sad

about neo4j, it's a graph database that can be jound here : http://www.neo4j.org/
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often times... there are other approaches which are kinda crappy until you put them in the context of parallel machines
(en) http://www.blog-gpgpu.com/ , (fr) http://www.keru.org/ ,
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jehovajah
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« Reply #6 on: October 08, 2010, 10:31:20 AM »

Thanks for the references. Very interesting tensor!
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